129 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" "Dr" research jobs in United States
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of journal articles, and the mentoring of students and other Lab members. The postdoctoral fellow will be supervised by Dr. Christopher Callahan (O’Neill School) with ample opportunity to work with other IU
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with Dr. Kristina Olson on two projects. One is a long-term study of gender development and the other is a new project involving the coding of video data in infants. Responsibilities will include
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 372752 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 372636 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 372542 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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of an existing Position) to temporarily support the WorkDay ERP? No Job Category University Staff Job Type Full-Time FLSA Status Exempt Campus Maywood-Health Sciences Campus Department Name SURGERY Location Code
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laboratory experiments and activities, informatics tasks, and other assigned research duties. About the LILAC Lab In the LILAC Lab, this position will work under the direction of Principal Investigator Dr
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 372431 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The lab of Dr. Kendrick Kay (http://cvnlab.net) at the Center for Magnetic Resonance Research at the University of Minnesota
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing